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An Algorithm for Edge Detection of the Image for Application in WSN

机译:用于WSN应用程序的边缘检测算法

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The conversion of the image in black and white image is a very important factor in the case of WSNs. This conversion affects the image size reduction. In other words, it affects energy saving and bandwidth transmission of sensor nodes. However, in this case, we can have a loss of details of image characteristics. With purpose of preserving the image characteristics, the edge detection as accurately as possible is a key factor. So, in this paper, we will present a new algorithm which enables the efficient realization of pixels detection that corresponds to the edges of the image captured by the sensor nodes. The results obtained with the application of this algorithm will be compared with results obtained from the application of traditional Filters.
机译:在黑白图像中的图像转换是WSNS​​的情况下非常重要的因素。此转换会影响图像尺寸减小。换句话说,它会影响传感器节点的节能和带宽传输。但是,在这种情况下,我们可以丢失图像特征的细节。目的是保留图像特性,尽可能准确地检测边缘检测是关键因素。因此,在本文中,我们将介绍一种新的算法,其能够有效地实现对应于由传感器节点捕获的图像的边缘的像素检测。将与应用该算法的应用获得的结果与从传统过滤器的应用获得的结果进行比较。

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